Cloudera

JANUARY 30, 2024

As we navigate the fourth and fifth industrial revolution, AI technologies are catalyzing a paradigm shift in how products are designed, produced, and optimized. But with this data — along with some context about the business and process — manufacturers can leverage AI as a key building block to develop and enhance operations.

Manufacturing 79

Manufacturing Contextual Data IoT Digital Transformation 79

BizAcuity

MARCH 1, 2019

IoT is basically an exchange of data or information in a connected or interconnected environment. As IoT devices generate large volumes of data, AI is functionally necessary to make sense of this data. Data is only useful when it is actionable for which it needs to be supplemented with context and creativity.

IoT 56

IoT Internet of Things Big Data Data-driven 56

CIO Business Intelligence

NOVEMBER 29, 2023

By mid-2023, Walldorf-based Gerresheimer had its IT strategy revised, and a central component of this was its cloud journey, for which CIO Zafer Nalbant and his team built a hybrid environment consisting of a public cloud part based on Microsoft Azure, and a private cloud part that runs in a data center completely managed by T-Systems.

IT 92

IT Data Lake Strategy IoT 92

Jet Global

MAY 9, 2024

The key components of a data pipeline are typically: Data Sources : The origin of the data, such as a relational database , data warehouse, data lake , file, API, or other data store. This can include tasks such as data ingestion, cleansing, filtering, aggregation, or standardization.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

IBM Big Data Hub

APRIL 15, 2024

Facing a constant onslaught of cost pressures, supply chain volatility and disruptive technologies like 3D printing and IoT. The industry must continually optimize process, improve efficiency, and improve overall equipment effectiveness. Or we create a data lake, which quickly degenerates to a data swamp.

Manufacturing 95

Manufacturing Contextual Data Knowledge Discovery Data Lake 95

David Menninger's Analyst Perspectives

MAY 20, 2019

The emerging internet of things (IoT) is an extension of digital connectivity to devices and sensors in homes, businesses, vehicles and potentially almost anywhere.

Internet of Things 204

Internet of Things IoT Analytics Optimization 204

CIO Business Intelligence

APRIL 11, 2022

billion connected Internet of Things (IoT) devices by 2025, generating almost 80 billion zettabytes of data at the edge. This next manifestation of centralized data strategy emanates from past experiences with trying to coalesce the enterprise around a large-scale monolithic data lake. over last year.

Optimization 52

Optimization Data Lake Data Strategy Internet of Things 52

CIO Business Intelligence

OCTOBER 1, 2022

The digital transformation of P&G’s manufacturing platform will enable the company to check product quality in real-time directly on the production line, maximize the resiliency of equipment while avoiding waste, and optimize the use of energy and water in manufacturing plants.

Manufacturing 142

Manufacturing Digital Transformation IoT Internet of Things 142

AWS Big Data

JANUARY 8, 2024

In the subsequent post in our series, we will explore the architectural patterns in building streaming pipelines for real-time BI dashboards, contact center agent, ledger data, personalized real-time recommendation, log analytics, IoT data, Change Data Capture, and real-time marketing data.

Analytics 115

Analytics IoT Data-driven Snapshot 115

CIO Business Intelligence

JUNE 29, 2022

If you can’t make sense of your business data, you’re effectively flying blind. Insights hidden in your data are essential for optimizing business operations, finetuning your customer experience, and developing new products — or new lines of business, like predictive maintenance. Azure Data Lake Analytics.

Data Lake 105

Data Lake Analytics Data Warehouse Machine Learning 105

AWS Big Data

MAY 16, 2024

Because of this, many organizations are utilizing them as a support geography, aggregating their data to these grids to optimize both their storage and analysis. Indexed data can be quickly joined across different datasets and aggregated at different levels of precision.

Data Warehouse 109

Data Warehouse Visualization Cost-Benefit Optimization 109

CIO Business Intelligence

DECEMBER 6, 2023

In consequence, there is a direct impact on lower energy costs, a reduction in the carbon footprint, decreased production waste costs, and increased utilization of equipment and workforce through data-driven planning and operations management.”

Manufacturing 73

Manufacturing Data Lake Digital Transformation Machine Learning 73

CIO Business Intelligence

APRIL 18, 2023

By: Gayle Levin, Senior Product Marketing Manager for Wireless at Aruba, A Hewlett Packard Enterprise Company. 6 ways to drive operational efficiencies by modernizing your Wi-Fi network Shift to cloud-based network management. Cloud-based network management also better aligns spend through a subscription, OpEx-driven model.

IoT 52

IoT Internet of Things Data Lake Optimization 52

BizAcuity

NOVEMBER 22, 2022

Snowflake is a cloud-native platform that eliminates the need for separate data warehouses, data lakes, and data marts allowing secure data sharing across the organization. For this reason, Snowflake is often the cloud-native data warehouse of choice. This makes the data available sooner.

Data Warehouse 98

Data Warehouse Cost-Benefit Data Lake Internet of Things 98

CIO Business Intelligence

OCTOBER 25, 2022

The variables seem endless: data— security , science , storage , mining , management , definition , deletion , integration , accessibility , architecture , collection , governance , and the ever-elusive, data culture. If you’ve defined your problem well, you’ll know what that data is, which is key.

Data Strategy 135

Data Strategy Strategy Data Lake Data-driven 135

DataKitchen

JULY 27, 2023

Let’s go through the ten Azure data pipeline tools Azure Data Factory : This cloud-based data integration service allows you to create data-driven workflows for orchestrating and automating data movement and transformation. You can use it for big data analytics and machine learning workloads.

Machine Learning 130

Machine Learning Cost-Benefit Data Transformation Testing 130

AWS Big Data

MARCH 7, 2023

Decoupled and scalable – Serverless, auto scaled, and fully managed services are preferred over manually managed services. Flexible and easy to use – The solutions should provide less restrictive, easy-to-access, and ready-to-use data. They should also provide optimal performance with low or no tuning.

Analytics 74

Analytics Data Warehouse Data Lake Metadata 74

Cloudera

SEPTEMBER 15, 2023

This information is essential for the management of the telco business, from fault resolution to making sure families have the right content package for their needs, to supply chain dashboards for businesses based on IoT data. Access and the exchange of data is critical for managing the operations in many industries.

Strategy 79

Strategy Advertising IoT B2B 79

AWS Big Data

NOVEMBER 14, 2023

Ten years ago, we launched Amazon Kinesis Data Streams , the first cloud-native serverless streaming data service, to serve as the backbone for companies, to move data across system boundaries, breaking data silos. This is why Kinesis Data Streams is a good fit.

IoT 55

IoT Data-driven Data Lake Data Strategy 55

BizAcuity

APRIL 1, 2023

Snowflake is a cloud-native platform that eliminates the need for separate data warehouses, data lakes, and data marts allowing secure data sharing across the organization. For this reason, Snowflake is often the cloud-native data warehouse of choice. This makes the data available sooner.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Lake Internet of Things 52

IBM Big Data Hub

JANUARY 18, 2023

A read-optimized platform that can integrate data from multiple applications emerged. In another decade, the internet and mobile started the generate data of unforeseen volume, variety and velocity. It required a different data platform solution. Value of the data projects are difficult to realize.

Data Lake 52

Data Lake Data Warehouse Data-driven Metadata 52

AWS Big Data

FEBRUARY 6, 2023

The tool provides a YARN log collector to connect Hadoop Resource Manager to collect YARN logs. Additionally, a TCO calculator generates the TCO estimation of an optimized EMR cluster for facilitating the migration. The script connects your local machine with the Hadoop primary node and communicates with Resource Manager.

Dashboards 78

Dashboards Optimization Data Lake Cost-Benefit 78

AWS Big Data

FEBRUARY 6, 2023

When migrating Hadoop workloads to Amazon EMR , it’s often difficult to identify the optimal cluster configuration without analyzing existing workloads by hand. It enables compute such as EMR instances and storage such as Amazon Simple Storage Service (Amazon S3) data lakes to scale. For more information, see the GitHub repo.

Cost-Benefit 52

Cost-Benefit Data Lake Dashboards Big Data 52

Cloudera

SEPTEMBER 6, 2022

There remain challenges in workforce management, particularly in call centers, and order backlogs for fiber broadband and other physical infrastructure are being worked through. Previously, there were three types of data structures in telco: . Entity data sets — i.e. marketing data lakes .

Data Architecture 84

Data Architecture Cost-Benefit Digital Transformation Business Driver 84

AWS Big Data

MAY 30, 2023

Customers have been using data warehousing solutions to perform their traditional analytics tasks. Recently, data lakes have gained lot of traction to become the foundation for analytical solutions, because they come with benefits such as scalability, fault tolerance, and support for structured, semi-structured, and unstructured datasets.

Data Lake 83

Data Lake Data Analytics Analytics Data Processing 83

Cloudera

MAY 12, 2021

Use cases could include but are not limited to: predictive maintenance, log data pipeline optimization, connected vehicles, industrial IoT, fraud detection, patient monitoring, network monitoring, and more. DATA FOR ENTERPRISE AI. Nominations for the 2021 Cloudera Data Impact Awards are open from now until July 23.

Digital Transformation 68

Digital Transformation Machine Learning Optimization Data Lake 68

erwin

DECEMBER 13, 2018

Data operations (DataOps) gains traction/will be fully optimized: Much like how DevOps has taken hold over the past decade, 2019 will see a similar push for DataOps. Data is no longer just an IT issue. As organizations become data-driven and awash in an overwhelming amount of data from multiple data sources (AI, IOT, ML, etc.),

Data Governance 91

Data Governance IoT Internet of Things Data-driven 91

Sisense

MAY 11, 2021

The reasons for this are simple: Before you can start analyzing data, huge datasets like data lakes must be modeled or transformed to be usable. According to a recent survey conducted by IDC , 43% of respondents were drawing intelligence from 10 to 30 data sources in 2020, with a jump to 64% in 2021!

Modeling 84

Modeling Big Data IoT Data Warehouse 84

AWS Big Data

JUNE 7, 2023

Through their unique position in ports, at sea, and on roads, they optimize global cargo flows and create sustainable customer value. Cargotec captures terabytes of IoT telemetry data from their machinery operated by numerous customers across the globe.

Metadata 55

Metadata Data Lake Machine Learning Big Data 55

Corinium

APRIL 25, 2019

Ahead of the Chief Data Analytics Officers & Influencers, Insurance event we caught up with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity to discuss how the industry is evolving. I am head of Products here, which comprises of R&D, Product Management and Global Customer support.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

AWS Big Data

FEBRUARY 21, 2023

Loading complex multi-point datasets into a dimensional model, identifying issues, and validating data integrity of the aggregated and merged data points are the biggest challenges that clinical quality management systems face. What is a dimensional data model? It optimizes the database for faster data retrieval.

Data Warehouse 67

Data Warehouse Data Lake Cost-Benefit Modeling 67

FineReport

APRIL 11, 2023

Additionally, they provide tabs, pull-down menus, and other navigation features to assist in accessing data. Data Visualizations : Dashboards are configured with a variety of data visualizations such as line and bar charts, bubble charts, heat maps, and scatter plots to show different performance metrics and statistics.

Dashboards 40

Dashboards Business Intelligence Cost-Benefit Metrics 40

AWS Big Data

JUNE 12, 2023

Organizations across the world are increasingly relying on streaming data, and there is a growing need for real-time data analytics, considering the growing velocity and volume of data being collected. SecretArn Secrets Manager secret ARN for Amazon MSK SASL/SCRAM authentication. Refer to the first stack’s output.

Management 82

Management Metadata Testing Internet of Things 82

Cloudera

FEBRUARY 19, 2018

But when companies are looking towards new technologies such as data lakes, machine learning or predictive analytics, SAP alone is just not enough. To keep up with tech trends, businesses have to face the challenges of integrating SAP with non-SAP technologies and embark on a crusade against data silos. Breaking down data silos.

Data Lake 46

Data Lake Finance Data Governance Big Data 46

Cloudera

OCTOBER 7, 2021

The concept of the data mesh architecture is not entirely new; Its conceptual origins are rooted in the microservices architecture, its design principles (i.e., need to integrate multiple “point solutions” used in a data ecosystem) and organization reasons (e.g., difficulty to achieve cross-organizational governance model).

Metadata 124

Metadata Cost-Benefit Enterprise Interactive 124

Alation

APRIL 14, 2022

For example, data science always consumes “historical” data, and there is no guarantee that the semantics of older datasets are the same, even if their names are unchanged. Pushing data to a data lake and assuming it is ready for use is shortsighted. Data Governance and Data Security.

Metadata 59

Metadata Data Governance Modeling Data-driven 59

Alation

AUGUST 2, 2022

Customer centricity requires modernized data and IT infrastructures. Too often, companies manage data in spreadsheets or individual databases. This means that you’re likely missing valuable insights that could be gleaned from data lakes and data analytics. Legacy Technologies and Manual Processes.

Strategy 52

Strategy Cost-Benefit Metrics Data Lake 52